Read me file

This document contains information on the files needed to replicate analyses presented in "Through Their Own Eyes: The Implications of COVID-19 for PhD Students," by Nicholas Haas, Aida Gureghian, Cristel Jusino Diaz, and Abby Williams.

Software Statement

We use the following software to conduct our analyses:

1. Stata/MP 16.1. See https://www.stata.com/products/which-stata-is-right-for-me/ for more on Stata products.

2. As explained at the beginning of our replication code ("Analysis.do"), our Stata analyses require the installation of the following packages: rangestat, ebalance, balancetable, and estout.

Description of Files

To facilitate replication, we provide access to the following files:

1. "Analysis.do". This file contains code to replicate analyses presented in the paper and supplemental appendix.

2. "Main.dta". This file contains data from the spring 2020 survey, which is needed to replicate analyses reported in the main text of the paper, as well as some results in our supplemental appendix.

3. "Spring2019.dta". This file contains data from the spring 2019 survey, which is needed to replicate analyses reported in the supplemental appendix of the paper.

Information for Additional Datasets

Figure 2 in the main paper draws on data on COVID-19 cases and deaths from the New York Times GitHub page. To obtain this data (as of September 14, 2020), take the following steps:

1. Navigate to the following page: https://github.com/nytimes/covid-19-data
2. We report data on COVID-19 using two different metrics, cases and deaths, and separately for the U.S. and New York. To download the data, navigate to "Historical Data". To download the U.S. Data, under "U.S. National-Level Data", click "Raw CSV file here". To download the New York Data, under "State-Level Data", click "Raw CSV file here". 
3. Save the U.S. level data as "US.csv" and save the New York (state level) data as "NYOnly.csv".